Overview

Dataset statistics

Number of variables20
Number of observations5500
Missing cells0
Missing cells (%)0.0%
Duplicate rows27
Duplicate rows (%)0.5%
Total size in memory859.5 KiB
Average record size in memory160.0 B

Variable types

NUM20

Reproduction

Analysis started2020-08-25 01:57:20.326006
Analysis finished2020-08-25 01:58:24.890474
Duration1 minute and 4.56 seconds
Versionpandas-profiling v2.8.0
Command linepandas_profiling --config_file config.yaml [YOUR_FILE.csv]
Download configurationconfig.yaml

Warnings

Dataset has 27 (0.5%) duplicate rows Duplicates
A17 is highly correlated with A20 and 2 other fieldsHigh correlation
A20 is highly correlated with A17 and 3 other fieldsHigh correlation
A13 is highly correlated with A20 and 3 other fieldsHigh correlation
A40 is highly correlated with A38 and 1 other fieldsHigh correlation
A38 is highly correlated with A40 and 1 other fieldsHigh correlation
A26 is highly correlated with A28 and 1 other fieldsHigh correlation
A28 is highly correlated with A26 and 1 other fieldsHigh correlation
A10 is highly correlated with A20 and 2 other fieldsHigh correlation
A32 is highly correlated with A7High correlation
A7 is highly correlated with A32High correlation
A35 is highly correlated with A38 and 1 other fieldsHigh correlation
A9 is highly correlated with A5High correlation
A5 is highly correlated with A9High correlation
A18 is highly correlated with A20 and 3 other fieldsHigh correlation
A25 is highly correlated with A28 and 1 other fieldsHigh correlation

Variables

A20
Real number (ℝ)

HIGH CORRELATION

Distinct count1282
Unique (%)23.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.48310163636363634
Minimum-1.18
Maximum0.439
Zeros3
Zeros (%)0.1%
Memory size43.1 KiB
2020-08-25T01:58:24.933811image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.18
5-th percentile-1.046
Q1-0.758
median-0.4565
Q3-0.193
95-th percentile0.02005
Maximum0.439
Range1.619
Interquartile range (IQR)0.565

Descriptive statistics

Standard deviation0.3483659145
Coefficient of variation (CV)-0.7211027416
Kurtosis-1.050505331
Mean-0.4831016364
Median Absolute Deviation (MAD)0.2775
Skewness-0.1930474769
Sum-2657.059
Variance0.1213588104
2020-08-25T01:58:25.060588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.011160.3%
 
-0.153140.3%
 
-0.056130.2%
 
-0.193130.2%
 
-0.091120.2%
 
-0.53120.2%
 
-0.611120.2%
 
-0.118120.2%
 
-0.995120.2%
 
-0.073120.2%
 
-0.586120.2%
 
-0.392110.2%
 
-0.917110.2%
 
-0.227110.2%
 
-1.007110.2%
 
-0.669110.2%
 
-0.559110.2%
 
-0.493110.2%
 
-0.514110.2%
 
-0.509110.2%
 
-1.038110.2%
 
-0.333110.2%
 
-0.574110.2%
 
-0.069110.2%
 
-0.434110.2%
 
Other values (1257)520694.7%
 
ValueCountFrequency (%) 
-1.181< 0.1%
 
-1.1781< 0.1%
 
-1.1741< 0.1%
 
-1.1691< 0.1%
 
-1.1621< 0.1%
 
-1.162< 0.1%
 
-1.1591< 0.1%
 
-1.1581< 0.1%
 
-1.1562< 0.1%
 
-1.1511< 0.1%
 
ValueCountFrequency (%) 
0.4391< 0.1%
 
0.3551< 0.1%
 
0.3431< 0.1%
 
0.3121< 0.1%
 
0.3031< 0.1%
 
0.2971< 0.1%
 
0.281< 0.1%
 
0.2671< 0.1%
 
0.2551< 0.1%
 
0.2531< 0.1%
 

A17
Real number (ℝ)

HIGH CORRELATION

Distinct count805
Unique (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7331118181818181
Minimum-1.172
Maximum0.02
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:25.179830image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.172
5-th percentile-1.03205
Q1-0.903
median-0.734
Q3-0.578
95-th percentile-0.423
Maximum0.02
Range1.192
Interquartile range (IQR)0.325

Descriptive statistics

Standard deviation0.1955167796
Coefficient of variation (CV)-0.2666943497
Kurtosis-0.9572284312
Mean-0.7331118182
Median Absolute Deviation (MAD)0.163
Skewness0.05270926824
Sum-4032.115
Variance0.0382268111
2020-08-25T01:58:25.282104image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.95170.3%
 
-0.923170.3%
 
-0.647160.3%
 
-0.991160.3%
 
-0.622160.3%
 
-0.662160.3%
 
-0.731160.3%
 
-0.65160.3%
 
-0.76150.3%
 
-0.607150.3%
 
-0.981150.3%
 
-0.734150.3%
 
-0.927150.3%
 
-0.613150.3%
 
-0.787140.3%
 
-0.785140.3%
 
-0.637140.3%
 
-0.7140.3%
 
-0.779140.3%
 
-0.529140.3%
 
-0.556140.3%
 
-0.585140.3%
 
-0.645140.3%
 
-0.569140.3%
 
-0.648140.3%
 
Other values (780)512693.2%
 
ValueCountFrequency (%) 
-1.1721< 0.1%
 
-1.1691< 0.1%
 
-1.1621< 0.1%
 
-1.1591< 0.1%
 
-1.1581< 0.1%
 
-1.1571< 0.1%
 
-1.1461< 0.1%
 
-1.1431< 0.1%
 
-1.1392< 0.1%
 
-1.1341< 0.1%
 
ValueCountFrequency (%) 
0.021< 0.1%
 
-0.1781< 0.1%
 
-0.1931< 0.1%
 
-0.2061< 0.1%
 
-0.2381< 0.1%
 
-0.2411< 0.1%
 
-0.2591< 0.1%
 
-0.2621< 0.1%
 
-0.2691< 0.1%
 
-0.2812< 0.1%
 

A16
Real number (ℝ)

Distinct count727
Unique (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.576325090909091
Minimum-0.9940000000000001
Maximum0.036000000000000004
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:25.396956image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-0.994
5-th percentile-0.872
Q1-0.652
median-0.548
Q3-0.472
95-th percentile-0.35095
Maximum0.036
Range1.03
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.1586810434
Coefficient of variation (CV)-0.2753325265
Kurtosis-0.2619086405
Mean-0.5763250909
Median Absolute Deviation (MAD)0.085
Skewness-0.4476079911
Sum-3169.788
Variance0.02517967353
2020-08-25T01:58:25.502190image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.524310.6%
 
-0.55280.5%
 
-0.5270.5%
 
-0.552260.5%
 
-0.494250.5%
 
-0.543250.5%
 
-0.468240.4%
 
-0.541240.4%
 
-0.566240.4%
 
-0.502240.4%
 
-0.533240.4%
 
-0.521240.4%
 
-0.522230.4%
 
-0.57230.4%
 
-0.564230.4%
 
-0.571230.4%
 
-0.539230.4%
 
-0.518230.4%
 
-0.534230.4%
 
-0.547230.4%
 
-0.506230.4%
 
-0.509230.4%
 
-0.495230.4%
 
-0.504230.4%
 
-0.53230.4%
 
Other values (702)489589.0%
 
ValueCountFrequency (%) 
-0.9941< 0.1%
 
-0.9871< 0.1%
 
-0.9771< 0.1%
 
-0.9742< 0.1%
 
-0.9711< 0.1%
 
-0.971< 0.1%
 
-0.9641< 0.1%
 
-0.9631< 0.1%
 
-0.9612< 0.1%
 
-0.9551< 0.1%
 
ValueCountFrequency (%) 
0.0361< 0.1%
 
-0.0831< 0.1%
 
-0.0891< 0.1%
 
-0.1231< 0.1%
 
-0.1261< 0.1%
 
-0.1391< 0.1%
 
-0.1461< 0.1%
 
-0.151< 0.1%
 
-0.1561< 0.1%
 
-0.1591< 0.1%
 

A27
Real number (ℝ)

Distinct count1010
Unique (%)18.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7279367272727273
Minimum-1.239
Maximum0.612
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:25.614837image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.239
5-th percentile-1.071
Q1-0.897
median-0.739
Q3-0.571
95-th percentile-0.35395
Maximum0.612
Range1.851
Interquartile range (IQR)0.326

Descriptive statistics

Standard deviation0.2278082705
Coefficient of variation (CV)-0.312950648
Kurtosis0.9180133811
Mean-0.7279367273
Median Absolute Deviation (MAD)0.163
Skewness0.5422435623
Sum-4003.652
Variance0.05189660811
2020-08-25T01:58:25.723413image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.921180.3%
 
-0.689170.3%
 
-0.844170.3%
 
-0.886170.3%
 
-0.751170.3%
 
-0.878170.3%
 
-0.613170.3%
 
-0.734160.3%
 
-0.936160.3%
 
-0.868160.3%
 
-0.657150.3%
 
-0.851150.3%
 
-0.791150.3%
 
-0.869140.3%
 
-0.896140.3%
 
-0.894140.3%
 
-0.798140.3%
 
-0.812140.3%
 
-0.553140.3%
 
-0.911140.3%
 
-0.763140.3%
 
-0.945130.2%
 
-0.458130.2%
 
-0.837130.2%
 
-0.9130.2%
 
Other values (985)512393.1%
 
ValueCountFrequency (%) 
-1.2391< 0.1%
 
-1.231< 0.1%
 
-1.2261< 0.1%
 
-1.2251< 0.1%
 
-1.2241< 0.1%
 
-1.2231< 0.1%
 
-1.222< 0.1%
 
-1.2171< 0.1%
 
-1.2152< 0.1%
 
-1.2132< 0.1%
 
ValueCountFrequency (%) 
0.6121< 0.1%
 
0.5531< 0.1%
 
0.4951< 0.1%
 
0.4161< 0.1%
 
0.41< 0.1%
 
0.3591< 0.1%
 
0.2972< 0.1%
 
0.2091< 0.1%
 
0.1971< 0.1%
 
0.1591< 0.1%
 

A5
Real number (ℝ)

HIGH CORRELATION

Distinct count1025
Unique (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.33066036363636364
Minimum-1.053
Maximum0.439
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:25.852349image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.053
5-th percentile-0.816
Q1-0.48025
median-0.272
Q3-0.164
95-th percentile-0.02895
Maximum0.439
Range1.492
Interquartile range (IQR)0.31625

Descriptive statistics

Standard deviation0.2359597449
Coefficient of variation (CV)-0.7136015404
Kurtosis0.01632645087
Mean-0.3306603636
Median Absolute Deviation (MAD)0.134
Skewness-0.7513642651
Sum-1818.632
Variance0.05567700119
2020-08-25T01:58:25.973914image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.195270.5%
 
-0.253250.5%
 
-0.201210.4%
 
-0.15200.4%
 
-0.189200.4%
 
-0.222200.4%
 
-0.187180.3%
 
-0.295180.3%
 
-0.202180.3%
 
-0.277170.3%
 
-0.237170.3%
 
-0.196170.3%
 
-0.279170.3%
 
-0.156170.3%
 
-0.251160.3%
 
-0.138160.3%
 
-0.188160.3%
 
-0.212160.3%
 
-0.244160.3%
 
-0.143160.3%
 
-0.17160.3%
 
-0.167160.3%
 
-0.193160.3%
 
-0.144160.3%
 
-0.219160.3%
 
Other values (1000)505291.9%
 
ValueCountFrequency (%) 
-1.0531< 0.1%
 
-1.0491< 0.1%
 
-1.0321< 0.1%
 
-1.0242< 0.1%
 
-1.0221< 0.1%
 
-1.0211< 0.1%
 
-1.0191< 0.1%
 
-1.0041< 0.1%
 
-0.9991< 0.1%
 
-0.9971< 0.1%
 
ValueCountFrequency (%) 
0.4391< 0.1%
 
0.3241< 0.1%
 
0.2641< 0.1%
 
0.2421< 0.1%
 
0.2041< 0.1%
 
0.2031< 0.1%
 
0.1981< 0.1%
 
0.1891< 0.1%
 
0.1861< 0.1%
 
0.1851< 0.1%
 

A13
Real number (ℝ)

HIGH CORRELATION

Distinct count1300
Unique (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4018970909090909
Minimum-1.119
Maximum0.635
Zeros5
Zeros (%)0.1%
Memory size43.1 KiB
2020-08-25T01:58:26.092216image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.119
5-th percentile-0.962
Q1-0.655
median-0.352
Q3-0.151
95-th percentile0.09305
Maximum0.635
Range1.754
Interquartile range (IQR)0.504

Descriptive statistics

Standard deviation0.3368051942
Coefficient of variation (CV)-0.8380383978
Kurtosis-0.7824190979
Mean-0.4018970909
Median Absolute Deviation (MAD)0.233
Skewness-0.1948737409
Sum-2210.434
Variance0.1134377388
2020-08-25T01:58:26.203171image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.13160.3%
 
-0.962150.3%
 
-0.937150.3%
 
-0.123140.3%
 
-0.244140.3%
 
-0.147130.2%
 
-0.332130.2%
 
-0.294130.2%
 
-0.295130.2%
 
-0.194130.2%
 
-0.132130.2%
 
-0.168120.2%
 
-0.278120.2%
 
-0.14120.2%
 
-0.934120.2%
 
-0.243120.2%
 
-0.159120.2%
 
-0.476110.2%
 
-0.223110.2%
 
-0.195110.2%
 
-0.099110.2%
 
-0.429110.2%
 
-0.302110.2%
 
-0.378110.2%
 
-0.255110.2%
 
Other values (1275)518894.3%
 
ValueCountFrequency (%) 
-1.1191< 0.1%
 
-1.1151< 0.1%
 
-1.1041< 0.1%
 
-1.0961< 0.1%
 
-1.0921< 0.1%
 
-1.0892< 0.1%
 
-1.0831< 0.1%
 
-1.081< 0.1%
 
-1.0772< 0.1%
 
-1.0731< 0.1%
 
ValueCountFrequency (%) 
0.6351< 0.1%
 
0.5551< 0.1%
 
0.5531< 0.1%
 
0.5141< 0.1%
 
0.4851< 0.1%
 
0.4831< 0.1%
 
0.4731< 0.1%
 
0.4631< 0.1%
 
0.4551< 0.1%
 
0.451< 0.1%
 

A38
Real number (ℝ)

HIGH CORRELATION

Distinct count921
Unique (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5540914545454546
Minimum-1.097
Maximum0.19399999999999998
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:26.317134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.097
5-th percentile-0.878
Q1-0.717
median-0.5615
Q3-0.397
95-th percentile-0.196
Maximum0.194
Range1.291
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.2111492014
Coefficient of variation (CV)-0.381072835
Kurtosis-0.6315128544
Mean-0.5540914545
Median Absolute Deviation (MAD)0.1605
Skewness0.1235030571
Sum-3047.503
Variance0.04458398527
2020-08-25T01:58:26.421394image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.414180.3%
 
-0.615160.3%
 
-0.349160.3%
 
-0.401150.3%
 
-0.474150.3%
 
-0.62150.3%
 
-0.655150.3%
 
-0.649150.3%
 
-0.418150.3%
 
-0.407150.3%
 
-0.335150.3%
 
-0.446150.3%
 
-0.63150.3%
 
-0.473140.3%
 
-0.624140.3%
 
-0.584140.3%
 
-0.455140.3%
 
-0.392140.3%
 
-0.619140.3%
 
-0.646140.3%
 
-0.692140.3%
 
-0.406130.2%
 
-0.364130.2%
 
-0.431130.2%
 
-0.385130.2%
 
Other values (896)513693.4%
 
ValueCountFrequency (%) 
-1.0971< 0.1%
 
-1.0831< 0.1%
 
-1.0811< 0.1%
 
-1.0571< 0.1%
 
-1.0551< 0.1%
 
-1.0491< 0.1%
 
-1.0431< 0.1%
 
-1.041< 0.1%
 
-1.0341< 0.1%
 
-1.0311< 0.1%
 
ValueCountFrequency (%) 
0.1941< 0.1%
 
0.1581< 0.1%
 
0.1521< 0.1%
 
0.1381< 0.1%
 
0.111< 0.1%
 
0.1061< 0.1%
 
0.0821< 0.1%
 
0.0521< 0.1%
 
0.011< 0.1%
 
-0.011< 0.1%
 

A28
Real number (ℝ)

HIGH CORRELATION

Distinct count1082
Unique (%)19.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5862936363636363
Minimum-1.1540000000000001
Maximum0.42200000000000004
Zeros3
Zeros (%)0.1%
Memory size43.1 KiB
2020-08-25T01:58:26.532391image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.154
5-th percentile-0.94805
Q1-0.75
median-0.608
Q3-0.468
95-th percentile-0.07
Maximum0.422
Range1.576
Interquartile range (IQR)0.282

Descriptive statistics

Standard deviation0.2446395595
Coefficient of variation (CV)-0.4172645655
Kurtosis0.4807513091
Mean-0.5862936364
Median Absolute Deviation (MAD)0.141
Skewness0.680554133
Sum-3224.615
Variance0.05984851405
2020-08-25T01:58:26.648907image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.603290.5%
 
-0.585240.4%
 
-0.612220.4%
 
-0.59210.4%
 
-0.594200.4%
 
-0.63190.3%
 
-0.583190.3%
 
-0.615190.3%
 
-0.6190.3%
 
-0.491170.3%
 
-0.617160.3%
 
-0.611160.3%
 
-0.627160.3%
 
-0.602160.3%
 
-0.614160.3%
 
-0.651160.3%
 
-0.633160.3%
 
-0.759160.3%
 
-0.64160.3%
 
-0.598160.3%
 
-0.599150.3%
 
-0.62150.3%
 
-0.787150.3%
 
-0.746150.3%
 
-0.529150.3%
 
Other values (1057)505691.9%
 
ValueCountFrequency (%) 
-1.1541< 0.1%
 
-1.1231< 0.1%
 
-1.1182< 0.1%
 
-1.1171< 0.1%
 
-1.1111< 0.1%
 
-1.1091< 0.1%
 
-1.1081< 0.1%
 
-1.1061< 0.1%
 
-1.0981< 0.1%
 
-1.0971< 0.1%
 
ValueCountFrequency (%) 
0.4221< 0.1%
 
0.3791< 0.1%
 
0.3541< 0.1%
 
0.3081< 0.1%
 
0.2681< 0.1%
 
0.2371< 0.1%
 
0.2241< 0.1%
 
0.2191< 0.1%
 
0.1981< 0.1%
 
0.1851< 0.1%
 

A40
Real number (ℝ)

HIGH CORRELATION

Distinct count1252
Unique (%)22.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5676521818181819
Minimum-1.215
Maximum0.465
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:26.771367image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.215
5-th percentile-1.04
Q1-0.789
median-0.591
Q3-0.345
95-th percentile-0.011
Maximum0.465
Range1.68
Interquartile range (IQR)0.444

Descriptive statistics

Standard deviation0.3091101024
Coefficient of variation (CV)-0.5445413799
Kurtosis-0.5800352731
Mean-0.5676521818
Median Absolute Deviation (MAD)0.225
Skewness0.2374200366
Sum-3122.087
Variance0.0955490554
2020-08-25T01:58:26.892469image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.752160.3%
 
-0.619150.3%
 
-0.393150.3%
 
-0.626150.3%
 
-0.709150.3%
 
-0.712150.3%
 
-0.654130.2%
 
-0.724130.2%
 
-0.704130.2%
 
-0.763130.2%
 
-0.382130.2%
 
-0.287130.2%
 
-0.335130.2%
 
-0.731130.2%
 
-0.71120.2%
 
-0.707120.2%
 
-0.456120.2%
 
-0.744120.2%
 
-0.717120.2%
 
-0.725120.2%
 
-0.613120.2%
 
-0.666120.2%
 
-0.309120.2%
 
-0.74120.2%
 
-0.66120.2%
 
Other values (1227)517394.1%
 
ValueCountFrequency (%) 
-1.2151< 0.1%
 
-1.1991< 0.1%
 
-1.1911< 0.1%
 
-1.1831< 0.1%
 
-1.1821< 0.1%
 
-1.181< 0.1%
 
-1.1781< 0.1%
 
-1.1681< 0.1%
 
-1.1562< 0.1%
 
-1.1541< 0.1%
 
ValueCountFrequency (%) 
0.4651< 0.1%
 
0.3571< 0.1%
 
0.3481< 0.1%
 
0.3191< 0.1%
 
0.2971< 0.1%
 
0.2751< 0.1%
 
0.271< 0.1%
 
0.2611< 0.1%
 
0.2551< 0.1%
 
0.251< 0.1%
 

A7
Real number (ℝ)

HIGH CORRELATION

Distinct count965
Unique (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6026521818181818
Minimum-1.208
Maximum0.525
Zeros1
Zeros (%)< 0.1%
Memory size43.1 KiB
2020-08-25T01:58:27.008015image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.208
5-th percentile-0.967
Q1-0.72
median-0.58
Q3-0.481
95-th percentile-0.30595
Maximum0.525
Range1.733
Interquartile range (IQR)0.239

Descriptive statistics

Standard deviation0.2002690769
Coefficient of variation (CV)-0.3323128712
Kurtosis1.095423116
Mean-0.6026521818
Median Absolute Deviation (MAD)0.116
Skewness0.001603811651
Sum-3314.587
Variance0.04010770315
2020-08-25T01:58:27.310000image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.504230.4%
 
-0.515220.4%
 
-0.492220.4%
 
-0.524210.4%
 
-0.481200.4%
 
-0.527200.4%
 
-0.52190.3%
 
-0.523190.3%
 
-0.525190.3%
 
-0.475180.3%
 
-0.56180.3%
 
-0.505180.3%
 
-0.437180.3%
 
-0.522180.3%
 
-0.557180.3%
 
-0.536180.3%
 
-0.695180.3%
 
-0.49180.3%
 
-0.552180.3%
 
-0.499180.3%
 
-0.603170.3%
 
-0.513170.3%
 
-0.507170.3%
 
-0.564170.3%
 
-0.538170.3%
 
Other values (940)503291.5%
 
ValueCountFrequency (%) 
-1.2081< 0.1%
 
-1.1851< 0.1%
 
-1.1811< 0.1%
 
-1.1791< 0.1%
 
-1.1671< 0.1%
 
-1.1631< 0.1%
 
-1.1521< 0.1%
 
-1.1471< 0.1%
 
-1.1451< 0.1%
 
-1.1441< 0.1%
 
ValueCountFrequency (%) 
0.5251< 0.1%
 
0.4011< 0.1%
 
0.3531< 0.1%
 
0.3521< 0.1%
 
0.3311< 0.1%
 
0.2741< 0.1%
 
0.1941< 0.1%
 
0.1771< 0.1%
 
0.1721< 0.1%
 
0.1521< 0.1%
 

A26
Real number (ℝ)

HIGH CORRELATION

Distinct count1100
Unique (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.40377490909090913
Minimum-1.11
Maximum0.373
Zeros3
Zeros (%)0.1%
Memory size43.1 KiB
2020-08-25T01:58:27.433013image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.11
5-th percentile-0.86
Q1-0.588
median-0.364
Q3-0.227
95-th percentile-0.009
Maximum0.373
Range1.483
Interquartile range (IQR)0.361

Descriptive statistics

Standard deviation0.2514637662
Coefficient of variation (CV)-0.6227820514
Kurtosis-0.4894190982
Mean-0.4037749091
Median Absolute Deviation (MAD)0.1685
Skewness-0.2284997466
Sum-2220.762
Variance0.0632340257
2020-08-25T01:58:27.547659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.251190.3%
 
-0.411190.3%
 
-0.22190.3%
 
-0.356180.3%
 
-0.247180.3%
 
-0.23170.3%
 
-0.233170.3%
 
-0.239170.3%
 
-0.257170.3%
 
-0.214170.3%
 
-0.215170.3%
 
-0.219160.3%
 
-0.204160.3%
 
-0.232160.3%
 
-0.321160.3%
 
-0.245160.3%
 
-0.286160.3%
 
-0.264160.3%
 
-0.375160.3%
 
-0.265160.3%
 
-0.237160.3%
 
-0.253160.3%
 
-0.235160.3%
 
-0.301150.3%
 
-0.291150.3%
 
Other values (1075)508392.4%
 
ValueCountFrequency (%) 
-1.111< 0.1%
 
-1.0261< 0.1%
 
-1.0251< 0.1%
 
-1.0231< 0.1%
 
-1.0191< 0.1%
 
-1.0181< 0.1%
 
-1.0092< 0.1%
 
-1.0041< 0.1%
 
-11< 0.1%
 
-0.9991< 0.1%
 
ValueCountFrequency (%) 
0.3731< 0.1%
 
0.3581< 0.1%
 
0.3541< 0.1%
 
0.3091< 0.1%
 
0.3071< 0.1%
 
0.2961< 0.1%
 
0.281< 0.1%
 
0.2551< 0.1%
 
0.2431< 0.1%
 
0.2251< 0.1%
 

A10
Real number (ℝ)

HIGH CORRELATION

Distinct count1234
Unique (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5978047272727273
Minimum-1.258
Maximum0.355
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:27.667446image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.258
5-th percentile-1.142
Q1-0.828
median-0.56
Q3-0.343
95-th percentile-0.108
Maximum0.355
Range1.613
Interquartile range (IQR)0.485

Descriptive statistics

Standard deviation0.3267657065
Coefficient of variation (CV)-0.5466094388
Kurtosis-0.9278540739
Mean-0.5978047273
Median Absolute Deviation (MAD)0.24
Skewness-0.1760843135
Sum-3287.926
Variance0.1067758269
2020-08-25T01:58:27.780057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.379140.3%
 
-0.421130.2%
 
-0.495130.2%
 
-0.442130.2%
 
-1.079130.2%
 
-0.408130.2%
 
-0.494120.2%
 
-0.736120.2%
 
-0.407120.2%
 
-0.711120.2%
 
-0.682120.2%
 
-0.824120.2%
 
-0.223110.2%
 
-0.713110.2%
 
-0.356110.2%
 
-0.732110.2%
 
-1.078110.2%
 
-0.219110.2%
 
-0.336110.2%
 
-0.415110.2%
 
-0.267110.2%
 
-0.348110.2%
 
-0.509110.2%
 
-1.121110.2%
 
-0.32110.2%
 
Other values (1209)520694.7%
 
ValueCountFrequency (%) 
-1.2582< 0.1%
 
-1.2481< 0.1%
 
-1.2471< 0.1%
 
-1.2461< 0.1%
 
-1.2371< 0.1%
 
-1.2362< 0.1%
 
-1.2321< 0.1%
 
-1.2282< 0.1%
 
-1.2271< 0.1%
 
-1.22640.1%
 
ValueCountFrequency (%) 
0.3551< 0.1%
 
0.3091< 0.1%
 
0.2351< 0.1%
 
0.2091< 0.1%
 
0.1961< 0.1%
 
0.1921< 0.1%
 
0.1731< 0.1%
 
0.1681< 0.1%
 
0.1661< 0.1%
 
0.1651< 0.1%
 

A14
Real number (ℝ)

Distinct count696
Unique (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.626988
Minimum-1.018
Maximum0.157
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:27.904992image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.018
5-th percentile-0.868
Q1-0.73
median-0.602
Q3-0.542
95-th percentile-0.423
Maximum0.157
Range1.175
Interquartile range (IQR)0.188

Descriptive statistics

Standard deviation0.1389768822
Coefficient of variation (CV)-0.2216579618
Kurtosis0.4485654419
Mean-0.626988
Median Absolute Deviation (MAD)0.0805
Skewness0.0005982460296
Sum-3448.434
Variance0.01931457378
2020-08-25T01:58:28.015270image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.607340.6%
 
-0.588320.6%
 
-0.568300.5%
 
-0.567300.5%
 
-0.603290.5%
 
-0.594280.5%
 
-0.553280.5%
 
-0.558280.5%
 
-0.572280.5%
 
-0.563280.5%
 
-0.585280.5%
 
-0.566270.5%
 
-0.56270.5%
 
-0.586270.5%
 
-0.577270.5%
 
-0.581260.5%
 
-0.579260.5%
 
-0.583260.5%
 
-0.573260.5%
 
-0.574260.5%
 
-0.578260.5%
 
-0.57260.5%
 
-0.555250.5%
 
-0.564250.5%
 
-0.597250.5%
 
Other values (671)481287.5%
 
ValueCountFrequency (%) 
-1.0181< 0.1%
 
-1.0151< 0.1%
 
-1.011< 0.1%
 
-1.0082< 0.1%
 
-1.0011< 0.1%
 
-0.9971< 0.1%
 
-0.9961< 0.1%
 
-0.9891< 0.1%
 
-0.9841< 0.1%
 
-0.9812< 0.1%
 
ValueCountFrequency (%) 
0.1571< 0.1%
 
-0.0111< 0.1%
 
-0.0161< 0.1%
 
-0.0361< 0.1%
 
-0.071< 0.1%
 
-0.0741< 0.1%
 
-0.0991< 0.1%
 
-0.1011< 0.1%
 
-0.1121< 0.1%
 
-0.1191< 0.1%
 

A32
Real number (ℝ)

HIGH CORRELATION

Distinct count898
Unique (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.64627
Minimum-1.179
Maximum0.565
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:28.133347image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.179
5-th percentile-0.934
Q1-0.781
median-0.643
Q3-0.542
95-th percentile-0.33295
Maximum0.565
Range1.744
Interquartile range (IQR)0.239

Descriptive statistics

Standard deviation0.1890397823
Coefficient of variation (CV)-0.2925089859
Kurtosis2.029581476
Mean-0.64627
Median Absolute Deviation (MAD)0.119
Skewness0.6910952445
Sum-3554.485
Variance0.03573603929
2020-08-25T01:58:28.251543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.587270.5%
 
-0.741230.4%
 
-0.578210.4%
 
-0.58210.4%
 
-0.574200.4%
 
-0.565200.4%
 
-0.592200.4%
 
-0.572200.4%
 
-0.594190.3%
 
-0.611190.3%
 
-0.588190.3%
 
-0.761180.3%
 
-0.585180.3%
 
-0.547180.3%
 
-0.566180.3%
 
-0.541180.3%
 
-0.608180.3%
 
-0.607170.3%
 
-0.599170.3%
 
-0.529170.3%
 
-0.591170.3%
 
-0.558170.3%
 
-0.557170.3%
 
-0.53170.3%
 
-0.802170.3%
 
Other values (873)502791.4%
 
ValueCountFrequency (%) 
-1.1791< 0.1%
 
-1.1591< 0.1%
 
-1.1471< 0.1%
 
-1.1431< 0.1%
 
-1.1281< 0.1%
 
-1.1111< 0.1%
 
-1.111< 0.1%
 
-1.1041< 0.1%
 
-1.0961< 0.1%
 
-1.0911< 0.1%
 
ValueCountFrequency (%) 
0.5651< 0.1%
 
0.5251< 0.1%
 
0.461< 0.1%
 
0.431< 0.1%
 
0.3951< 0.1%
 
0.3321< 0.1%
 
0.2271< 0.1%
 
0.2081< 0.1%
 
0.1721< 0.1%
 
0.1621< 0.1%
 

A35
Real number (ℝ)

HIGH CORRELATION

Distinct count838
Unique (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.4917976363636364
Minimum-1.015
Maximum0.34
Zeros1
Zeros (%)< 0.1%
Memory size43.1 KiB
2020-08-25T01:58:28.373672image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.015
5-th percentile-0.803
Q1-0.638
median-0.491
Q3-0.338
95-th percentile-0.203
Maximum0.34
Range1.355
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.1921609731
Coefficient of variation (CV)-0.3907317946
Kurtosis-0.5080222859
Mean-0.4917976364
Median Absolute Deviation (MAD)0.15
Skewness-0.009478479496
Sum-2704.887
Variance0.03692583957
2020-08-25T01:58:28.480537image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.311210.4%
 
-0.353200.4%
 
-0.328180.3%
 
-0.545180.3%
 
-0.369170.3%
 
-0.573170.3%
 
-0.654170.3%
 
-0.638160.3%
 
-0.597160.3%
 
-0.307160.3%
 
-0.296160.3%
 
-0.404160.3%
 
-0.352160.3%
 
-0.314150.3%
 
-0.339150.3%
 
-0.502150.3%
 
-0.316150.3%
 
-0.289150.3%
 
-0.341150.3%
 
-0.58150.3%
 
-0.362140.3%
 
-0.374140.3%
 
-0.501140.3%
 
-0.534140.3%
 
-0.335140.3%
 
Other values (813)510192.7%
 
ValueCountFrequency (%) 
-1.0151< 0.1%
 
-1.0041< 0.1%
 
-1.0011< 0.1%
 
-0.9861< 0.1%
 
-0.9711< 0.1%
 
-0.9691< 0.1%
 
-0.9661< 0.1%
 
-0.9571< 0.1%
 
-0.951< 0.1%
 
-0.9491< 0.1%
 
ValueCountFrequency (%) 
0.341< 0.1%
 
0.3041< 0.1%
 
0.2641< 0.1%
 
0.2631< 0.1%
 
0.2281< 0.1%
 
0.1841< 0.1%
 
0.1591< 0.1%
 
0.1321< 0.1%
 
0.131< 0.1%
 
0.1061< 0.1%
 

A9
Real number (ℝ)

HIGH CORRELATION

Distinct count1032
Unique (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.33170963636363643
Minimum-1.057
Maximum0.4370000000000001
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:28.593923image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.057
5-th percentile-0.827
Q1-0.484
median-0.272
Q3-0.163
95-th percentile-0.034
Maximum0.437
Range1.494
Interquartile range (IQR)0.321

Descriptive statistics

Standard deviation0.2360529325
Coefficient of variation (CV)-0.7116251886
Kurtosis0.1088258267
Mean-0.3317096364
Median Absolute Deviation (MAD)0.136
Skewness-0.7847876852
Sum-1824.403
Variance0.05572098696
2020-08-25T01:58:28.710480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.249240.4%
 
-0.216210.4%
 
-0.175210.4%
 
-0.26200.4%
 
-0.229200.4%
 
-0.226190.3%
 
-0.213190.3%
 
-0.184190.3%
 
-0.205180.3%
 
-0.194180.3%
 
-0.193180.3%
 
-0.188170.3%
 
-0.177170.3%
 
-0.221170.3%
 
-0.277170.3%
 
-0.234170.3%
 
-0.218170.3%
 
-0.223170.3%
 
-0.244160.3%
 
-0.231160.3%
 
-0.187160.3%
 
-0.166160.3%
 
-0.242160.3%
 
-0.222160.3%
 
-0.162160.3%
 
Other values (1007)505291.9%
 
ValueCountFrequency (%) 
-1.0571< 0.1%
 
-1.0531< 0.1%
 
-1.0391< 0.1%
 
-1.0361< 0.1%
 
-1.0351< 0.1%
 
-1.0311< 0.1%
 
-1.0291< 0.1%
 
-1.0251< 0.1%
 
-1.0151< 0.1%
 
-1.0141< 0.1%
 
ValueCountFrequency (%) 
0.4371< 0.1%
 
0.3161< 0.1%
 
0.2321< 0.1%
 
0.2241< 0.1%
 
0.2051< 0.1%
 
0.2022< 0.1%
 
0.21< 0.1%
 
0.1882< 0.1%
 
0.1831< 0.1%
 
0.1721< 0.1%
 

A18
Real number (ℝ)

HIGH CORRELATION

Distinct count899
Unique (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.49194290909090904
Minimum-1.0170000000000001
Maximum0.115
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:28.828360image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.017
5-th percentile-0.88
Q1-0.697
median-0.457
Q3-0.293
95-th percentile-0.178
Maximum0.115
Range1.132
Interquartile range (IQR)0.404

Descriptive statistics

Standard deviation0.2334942902
Coefficient of variation (CV)-0.4746369669
Kurtosis-1.080511792
Mean-0.4919429091
Median Absolute Deviation (MAD)0.187
Skewness-0.3057660805
Sum-2705.686
Variance0.05451958357
2020-08-25T01:58:28.931854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.257210.4%
 
-0.326190.3%
 
-0.26170.3%
 
-0.334170.3%
 
-0.235170.3%
 
-0.295170.3%
 
-0.307160.3%
 
-0.377160.3%
 
-0.318160.3%
 
-0.24160.3%
 
-0.234150.3%
 
-0.215150.3%
 
-0.443150.3%
 
-0.518150.3%
 
-0.23150.3%
 
-0.875150.3%
 
-0.323150.3%
 
-0.21140.3%
 
-0.229140.3%
 
-0.222140.3%
 
-0.194140.3%
 
-0.22140.3%
 
-0.209140.3%
 
-0.414140.3%
 
-0.847140.3%
 
Other values (874)511192.9%
 
ValueCountFrequency (%) 
-1.0171< 0.1%
 
-1.0081< 0.1%
 
-1.0062< 0.1%
 
-1.0051< 0.1%
 
-1.0031< 0.1%
 
-0.9981< 0.1%
 
-0.9872< 0.1%
 
-0.9861< 0.1%
 
-0.9842< 0.1%
 
-0.9751< 0.1%
 
ValueCountFrequency (%) 
0.1151< 0.1%
 
0.1071< 0.1%
 
0.0291< 0.1%
 
-0.0041< 0.1%
 
-0.0121< 0.1%
 
-0.0231< 0.1%
 
-0.0251< 0.1%
 
-0.0261< 0.1%
 
-0.031< 0.1%
 
-0.0341< 0.1%
 

A25
Real number (ℝ)

HIGH CORRELATION

Distinct count1112
Unique (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.5085203636363637
Minimum-1.137
Maximum0.41
Zeros2
Zeros (%)< 0.1%
Memory size43.1 KiB
2020-08-25T01:58:29.041643image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.137
5-th percentile-0.90705
Q1-0.693
median-0.499
Q3-0.372
95-th percentile-0.00295
Maximum0.41
Range1.547
Interquartile range (IQR)0.321

Descriptive statistics

Standard deviation0.2538261876
Coefficient of variation (CV)-0.499146555
Kurtosis0.0501895287
Mean-0.5085203636
Median Absolute Deviation (MAD)0.159
Skewness0.4022216932
Sum-2796.862
Variance0.06442773354
2020-08-25T01:58:29.158229image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-0.485190.3%
 
-0.5190.3%
 
-0.475190.3%
 
-0.491190.3%
 
-0.465180.3%
 
-0.469180.3%
 
-0.474180.3%
 
-0.456170.3%
 
-0.476170.3%
 
-0.556170.3%
 
-0.497170.3%
 
-0.459170.3%
 
-0.478170.3%
 
-0.501160.3%
 
-0.513160.3%
 
-0.467160.3%
 
-0.492160.3%
 
-0.477150.3%
 
-0.448150.3%
 
-0.385150.3%
 
-0.439150.3%
 
-0.493150.3%
 
-0.386150.3%
 
-0.452150.3%
 
-0.468150.3%
 
Other values (1087)508492.4%
 
ValueCountFrequency (%) 
-1.1371< 0.1%
 
-1.0781< 0.1%
 
-1.0772< 0.1%
 
-1.0751< 0.1%
 
-1.0721< 0.1%
 
-1.0591< 0.1%
 
-1.0571< 0.1%
 
-1.0471< 0.1%
 
-1.0441< 0.1%
 
-1.0421< 0.1%
 
ValueCountFrequency (%) 
0.411< 0.1%
 
0.4051< 0.1%
 
0.3951< 0.1%
 
0.3021< 0.1%
 
0.2851< 0.1%
 
0.2751< 0.1%
 
0.2541< 0.1%
 
0.2441< 0.1%
 
0.2411< 0.1%
 
0.241< 0.1%
 

A1
Real number (ℝ)

Distinct count861
Unique (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.0983054545454547
Minimum-1.45
Maximum0.774
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:29.279033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum-1.45
5-th percentile-1.302
Q1-1.218
median-1.149
Q3-1.044
95-th percentile-0.71195
Maximum0.774
Range2.224
Interquartile range (IQR)0.174

Descriptive statistics

Standard deviation0.2034030811
Coefficient of variation (CV)-0.1851971874
Kurtosis11.44861121
Mean-1.098305455
Median Absolute Deviation (MAD)0.081
Skewness2.66885068
Sum-6040.68
Variance0.04137281339
2020-08-25T01:58:29.373976image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
-1.206330.6%
 
-1.164310.6%
 
-1.207290.5%
 
-1.181280.5%
 
-1.228280.5%
 
-1.165280.5%
 
-1.169270.5%
 
-1.141270.5%
 
-1.173260.5%
 
-1.22260.5%
 
-1.143250.5%
 
-1.218250.5%
 
-1.153250.5%
 
-1.208250.5%
 
-1.215240.4%
 
-1.233240.4%
 
-1.149240.4%
 
-1.151240.4%
 
-1.193230.4%
 
-1.16230.4%
 
-1.15230.4%
 
-1.172230.4%
 
-1.187230.4%
 
-1.216230.4%
 
-1.19230.4%
 
Other values (836)486088.4%
 
ValueCountFrequency (%) 
-1.451< 0.1%
 
-1.4351< 0.1%
 
-1.4222< 0.1%
 
-1.4181< 0.1%
 
-1.4142< 0.1%
 
-1.411< 0.1%
 
-1.4081< 0.1%
 
-1.40530.1%
 
-1.4011< 0.1%
 
-1.41< 0.1%
 
ValueCountFrequency (%) 
0.7741< 0.1%
 
0.6061< 0.1%
 
0.5991< 0.1%
 
0.4411< 0.1%
 
0.4171< 0.1%
 
0.3961< 0.1%
 
0.2951< 0.1%
 
0.211< 0.1%
 
0.1581< 0.1%
 
0.141< 0.1%
 

target
Real number (ℝ≥0)

Distinct count11
Unique (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Memory size43.1 KiB
2020-08-25T01:58:29.479903image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q14
median8
Q312
95-th percentile14
Maximum14
Range12
Interquartile range (IQR)8

Descriptive statistics

Standard deviation3.861580265
Coefficient of variation (CV)0.4826975332
Kurtosis-1.205388518
Mean8
Median Absolute Deviation (MAD)4
Skewness0
Sum44000
Variance14.91180215
2020-08-25T01:58:29.577423image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%) 
75009.1%
 
35009.1%
 
145009.1%
 
105009.1%
 
65009.1%
 
25009.1%
 
135009.1%
 
95009.1%
 
125009.1%
 
85009.1%
 
45009.1%
 
ValueCountFrequency (%) 
25009.1%
 
35009.1%
 
45009.1%
 
65009.1%
 
75009.1%
 
85009.1%
 
95009.1%
 
105009.1%
 
125009.1%
 
135009.1%
 
ValueCountFrequency (%) 
145009.1%
 
135009.1%
 
125009.1%
 
105009.1%
 
95009.1%
 
85009.1%
 
75009.1%
 
65009.1%
 
45009.1%
 
35009.1%
 

Interactions

2020-08-25T01:57:21.986915image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:22.334728image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:22.484802image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:22.633263image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:22.788133image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:22.951194image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.101157image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.258713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.413518image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.567130image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.724324image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:23.881214image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.042558image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.194050image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.349226image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.502393image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.657246image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.807470image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:24.965364image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.110440image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.265088image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.415008image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.567454image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.715370image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:25.865057image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.009053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.147236image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.291244image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.438134image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.583628image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:26.731459image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.085930image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.237511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.378369image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.525758image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.671682image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.818339image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:27.953767image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.102701image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.239313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.385533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.534368image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.673929image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.809053image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:28.951170image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.093649image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.229891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.372789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.529888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.667987image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.805313image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:29.947596image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.085438image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.219318image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.359405image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.500736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.640605image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.779155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:30.925452image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:31.058202image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:31.202885image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:31.361526image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:31.700333image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:31.845155image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.006982image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.153813image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.300412image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.448065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.602853image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.752033image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:32.907076image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.061403image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.215559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.375009image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.534142image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.688957image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.836750image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:33.984971image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.142796image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.279176image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.428543image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.587445image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.735079image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:34.875225image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.027675image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.179632image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.327888image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.478922image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.634734image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.787889image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:35.937603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:36.089942image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:36.444928image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:36.596045image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:36.749756image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:36.896348image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.052789image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.200508image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.353784image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.492603image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.644480image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.793633image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:37.941911image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.079842image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.225560image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.374504image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.519320image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.660017image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.807559image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:38.960556image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.117673image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.260884image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.410939image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.556269image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.702606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:39.851419image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.007725image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.149323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.302666image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.436983image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.579588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.734967image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:40.876748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.205717image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.353736image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.500193image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.653020image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.802873image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:41.950975image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.098871image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.242891image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.388527image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.540372image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.679609image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.824377image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:42.966528image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:43.115522image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:43.255137image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:57:43.411748image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
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2020-08-25T01:58:15.865775image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.018594image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.171995image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.326854image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.479534image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.634659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.791178image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:16.949547image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.099713image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.250460image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.403806image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.561517image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.710165image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:17.865604image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.006065image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.158659image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.294441image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.422513image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.547529image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:18.683616image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.003826image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.140899image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.272993image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.410730image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.545086image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.687410image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.820803image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:19.960948image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.094066image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.230920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.366322image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.507562image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.637248image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.781505image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:20.907771image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.039352image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.185062image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.324533image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.458588image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.598618image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.747049image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:21.887920image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.028654image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.178571image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.325511image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.481819image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.625887image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.775258image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:22.918949image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.063707image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.206101image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.533493image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.666726image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.813606image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:23.948895image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Correlations

2020-08-25T01:58:29.719836image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2020-08-25T01:58:30.009323image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2020-08-25T01:58:30.306092image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2020-08-25T01:58:30.787075image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Missing values

2020-08-25T01:58:24.241030image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/
2020-08-25T01:58:24.709636image/svg+xmlMatplotlib v3.3.1, https://matplotlib.org/

Sample

First rows

A20A17A16A27A5A13A38A28A40A7A26A10A14A32A35A9A18A25A1target
0-0.892-0.991-0.718-0.911-0.545-0.747-0.620-0.786-0.607-0.795-0.566-0.868-0.818-0.766-0.545-0.547-0.778-0.699-1.2232
1-1.010-1.172-0.829-1.071-0.762-0.894-0.748-0.899-0.817-1.043-0.681-1.037-1.015-0.919-0.663-0.775-0.941-0.808-1.4102
2-0.673-0.849-0.533-0.829-0.367-0.533-0.457-0.680-0.469-0.682-0.443-0.681-0.671-0.692-0.371-0.395-0.603-0.596-1.1072
3-0.920-1.018-0.750-1.027-0.619-0.830-0.693-0.877-0.779-0.872-0.721-0.988-0.853-0.829-0.617-0.620-0.806-0.813-1.2702
4-0.780-1.003-0.662-1.018-0.498-0.712-0.642-0.825-0.648-0.857-0.630-0.779-0.845-0.861-0.545-0.496-0.740-0.738-1.3312
5-0.601-0.837-0.518-0.830-0.381-0.505-0.564-0.748-0.582-0.557-0.603-0.566-0.689-0.647-0.452-0.353-0.612-0.710-1.0492
6-0.794-0.860-0.645-0.798-0.475-0.654-0.613-0.689-0.684-0.685-0.532-0.800-0.692-0.690-0.503-0.478-0.670-0.629-1.0592
7-0.853-1.020-0.700-0.906-0.419-0.726-0.454-0.711-0.408-0.772-0.474-0.689-0.834-0.701-0.370-0.422-0.785-0.631-1.2542
8-0.739-0.924-0.615-0.863-0.461-0.643-0.564-0.683-0.622-0.749-0.515-0.732-0.757-0.702-0.462-0.513-0.682-0.625-1.1842
9-0.807-0.856-0.632-0.750-0.454-0.647-0.514-0.711-0.580-0.649-0.554-0.858-0.680-0.602-0.460-0.508-0.682-0.679-1.0022

Last rows

A20A17A16A27A5A13A38A28A40A7A26A10A14A32A35A9A18A25A1target
5490-0.373-0.646-0.385-0.4250.003-0.091-0.413-0.196-0.290-0.436-0.015-0.445-0.422-0.458-0.351-0.173-0.358-0.143-0.67014
5491-0.547-0.822-0.525-0.816-0.188-0.391-0.586-0.522-0.486-0.647-0.321-0.779-0.622-0.688-0.534-0.346-0.515-0.448-1.06614
5492-0.574-0.781-0.648-1.044-0.226-0.516-0.573-0.802-0.543-0.592-0.518-0.695-0.629-0.712-0.541-0.289-0.515-0.676-1.33114
5493-0.468-0.785-0.596-0.885-0.250-0.442-0.468-0.569-0.453-0.590-0.324-0.584-0.645-0.636-0.395-0.265-0.485-0.455-1.18614
5494-0.553-0.654-0.589-0.607-0.164-0.287-0.475-0.395-0.531-0.366-0.234-0.600-0.456-0.446-0.443-0.208-0.438-0.327-0.81614
5495-0.507-0.724-0.561-0.591-0.212-0.272-0.503-0.373-0.481-0.419-0.207-0.623-0.524-0.503-0.430-0.218-0.484-0.300-0.77514
5496-0.381-0.762-0.497-0.940-0.047-0.294-0.449-0.676-0.388-0.515-0.472-0.457-0.627-0.601-0.379-0.177-0.402-0.580-1.16614
5497-0.178-0.682-0.395-0.836-0.141-0.032-0.327-0.482-0.151-0.457-0.247-0.218-0.585-0.574-0.314-0.150-0.330-0.366-1.20314
5498-0.518-0.737-0.555-0.826-0.174-0.345-0.559-0.590-0.496-0.538-0.393-0.785-0.542-0.661-0.519-0.261-0.452-0.493-1.10714
5499-0.440-0.542-0.521-0.586-0.039-0.324-0.395-0.381-0.351-0.280-0.245-0.608-0.357-0.424-0.407-0.117-0.364-0.316-0.80414

Duplicate rows

Most frequent

A20A17A16A27A5A13A38A28A40A7A26A10A14A32A35A9A18A25A1targetcount
0-1.106-1.027-0.922-0.925-0.842-1.008-0.847-0.836-0.964-0.981-0.753-1.093-0.878-0.892-0.763-0.860-0.916-0.831-1.23042
1-1.103-0.993-0.894-0.886-0.804-0.940-0.829-0.814-0.927-0.929-0.740-1.108-0.822-0.877-0.730-0.843-0.875-0.803-1.16942
2-0.997-0.999-0.847-1.071-0.614-0.937-0.776-0.919-0.955-0.741-0.814-1.071-0.830-0.792-0.693-0.575-0.855-0.858-1.213122
3-0.977-1.038-0.865-1.153-0.558-0.958-0.839-1.066-1.023-0.722-0.982-1.028-0.880-0.823-0.749-0.523-0.870-1.032-1.257122
4-0.976-0.948-0.843-1.028-0.611-0.856-0.809-0.906-1.022-0.717-0.830-1.098-0.783-0.770-0.739-0.610-0.802-0.848-1.173122
5-0.964-1.035-0.790-0.936-0.636-0.900-0.654-0.815-0.726-0.882-0.632-0.930-0.887-0.802-0.581-0.645-0.876-0.753-1.23922
6-0.759-0.942-0.617-0.895-0.622-0.692-0.690-0.775-0.752-0.826-0.592-0.867-0.788-0.825-0.580-0.593-0.719-0.721-1.16922
7-0.657-0.886-0.609-0.844-0.436-0.547-0.624-0.781-0.682-0.659-0.580-0.793-0.714-0.733-0.539-0.429-0.639-0.730-1.11322
8-0.654-0.852-0.666-0.973-0.329-0.626-0.593-0.698-0.598-0.698-0.465-0.900-0.716-0.747-0.545-0.410-0.595-0.573-1.344142
9-0.519-0.794-0.550-0.925-0.230-0.471-0.664-0.747-0.660-0.669-0.581-0.757-0.623-0.819-0.598-0.323-0.489-0.691-1.23532